dalinvip / pytorch_SRULinks
SRU implement in pytorch(Training RNNs as Fast as CNNs)
☆47Updated 2 years ago
Alternatives and similar repositories for pytorch_SRU
Users that are interested in pytorch_SRU are comparing it to the libraries listed below
Sorting:
- NLSTM Nested LSTM in Pytorch☆17Updated 7 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆81Updated 6 years ago
- ☆38Updated 8 years ago
- Codes for "Towards Binary-Valued Gates for Robust LSTM Training".☆76Updated 6 years ago
- pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831☆121Updated 6 years ago
- Training RNNs as Fast as CNNs (Simple Recurrent Unit)☆30Updated 7 years ago
- ☆40Updated 6 years ago
- Training RNNs as fast as CNNs. An unofficial tensorflow implementation.☆32Updated 7 years ago
- Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification☆47Updated 7 years ago
- Bi-Directional Block Self-Attention☆122Updated 7 years ago
- Implementation of IndRNN in Keras☆67Updated 4 years ago
- Implement modern LSTM cell by tensorflow and test them by language modeling task for PTB. Highway State Gating, Hypernets, Recurrent High…☆30Updated 6 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆145Updated 6 years ago
- LSTM-Attention☆74Updated 7 years ago
- Highway Networks implement in pytorch☆71Updated 2 years ago
- fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer☆67Updated 8 years ago
- This code is to implement the IndRNN.☆69Updated 6 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆99Updated 3 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- STCN: Stochastic Temporal Convolutional Networks☆69Updated 4 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆121Updated 2 years ago
- Keras implement of ON-LSTM (Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks)☆156Updated 5 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- PyTorch implementation of batched bi-RNN encoder and attention-decoder.☆280Updated 6 years ago
- Pytorch implement WaveNet☆93Updated 7 years ago
- A pytorch implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆46Updated 6 years ago
- Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow☆49Updated 6 years ago
- Hierarchical Attention Networks for Document Classification in PyTorch☆36Updated 6 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆136Updated 4 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago